Watch it decide.
Enter a shared city that keeps running. Follow Jev’s decisions on the map, one move at a time.
NEW YORK + LONDON / PLAYABLE NOW
Close a station. Send in a crowd.
See how Jev, the AI by TypeSafe, responds.
TODAY’S DAILY · RANKED
Same start for everyone. Your best score goes on the leaderboard.
Or free play: practice anytime, not ranked.New York ↗London ↗
Two real networks. No sign-up.
Trains and passengers are simulated.
TODAY’S LEADERS
New York—
London—
THE CITY KEEPS MOVING. UNTIL IT DOESN’T.
Every disruption spreads through the network. Jev has seconds to decide what to do with the mess.
Enter a shared city that keeps running. Follow Jev’s decisions on the map, one move at a time.
Start from this moment in your own copy of the city. You have 90 simulated seconds to put Jev to the test.
Share the recorded run. Your friend gets the same starting conditions—and a chance to do more damage.
INSIDE THE DECISION / EVERY 3 SIMULATED SECONDS
Jev gets a short report about the simulation, a menu of possible moves and a 15-second forecast for each. Its job: reduce crowding and keep the network healthy.
The game highlights crowded stations, closures, stuck trains and the reserves still available.
150% full · more people than room
Jev weighs immediate relief against help that lasts, using the available moves and their limits.
More service can help a busy, open station over time. It uses one reserve and cannot fix blocked tracks.
The simulation applies the move. Passengers and trains keep moving, and the next report shows what actually changed.
Station crowdingAre fewer people waiting?
Network healthIs the whole city holding up?
A fresh reportJev chooses again in 3 game seconds.
Look again. Choose again. A move is a decision, not a guaranteed rescue. We record the result so you can judge it.
See actual results ↗Real map. Simulated decisions. Jev reads game conditions, not the map image. Official service alerts and arrivals are shown separately as real-world context. Jev does not control real trains, repair signals or end your disruptions.
Create a problem. Watch Jev respond ↗SMALL DECISIONS. MEASURABLE RESULTS.
Yes. Jev ran New York’s subway better than a purpose-built rulebook. +1.3 health points on average, and ahead in 48 of 48 matched tests. Each decision takes about 0.3 s and costs $0.0001.
Inspect the evidence ↗Recorded benchmark
Last updated:
972 recorded responses · metro-choice-4 · simulator v6 (nyc-jev-6). Inference only; failed-request usage and hosting excluded.
JEV MINUS EACH ALTERNATIVE New York · average health · 95% interval · right of the line = Jev better
Jev was consistently better than fixed rules: +1.26 points on average (95% interval +1.12 to +1.40). No reliable difference between Jev and the forecast-only script: +0.00 points on average (95% interval −0.02 to +0.02). In London, Jev was slightly but consistently better than fixed rules: +0.51 points on average (95% interval +0.35 to +0.66).
THE ROADMAP / NEXT STOPS
One model. Different networks.
New York and London are playable. Paris is next.
The first experiment. Real MTA geography, live transit context, and a simulated city you can challenge.
Play New York ↗272 stations. 11 Tube lines. Official TfL data and a new network to put Jev to the test.
Play London ↗A new network. New bottlenecks. The Paris Métro is a planned next chapter for the experiment.
In the roadmap · not playable yetAlso ahead: richer transit modeling, a longer record of decisions, and better ways to compare outcomes. Plans may evolve; no launch dates promised.
Follow the build ↗BUILT IN THE JUNGLE. OPEN TO CURIOSITY.
I wanted to see what a model built for everyday decisions could do when you gave it something complicated to run.
Thomas Kanze · independent builder ↗THE CITY IS WAITING.
Same start for everyone, one board per city. Or practice in free play ↗.